diff --git a/python/haarcascade.py/main.py b/python/haarcascade.py/main.py
deleted file mode 100644
index a89cff9..0000000
--- a/python/haarcascade.py/main.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import cv2
-import sys
-import pandas
-
-cascPath = "haarcascade_frontalface_default.xml"
-faceCascade = cv2.CascadeClassifier(cascPath)
-
-video_capture = cv2.VideoCapture('X:/video.mp4')
-
-list_avr = []
-f = 0
-
-red = 0
-blue = 0
-green = 0
-
-while True:
-    temp = []
-    # Capture frame-by-frame
-    ret, frame = video_capture.read()
-    img = cv2.resize(frame, (640, 480))
-    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-
-    faces = faceCascade.detectMultiScale(
-        img,
-        scaleFactor=1.1,
-        minNeighbors=5,
-        minSize=(30, 30),
-        #flags=cv2.cv.CV_HAAR_SCALE_IMAGE
-    )
-
-
-
-    # Draw a rectangle around the faces
-    for (x, y, w, h) in faces:
-        cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)
-    for i in range(x, x+w):
-        for j in range(y, y+w):
-            B, G, R = img[i, j]
-            red += R
-            blue += B
-            green += G
-    n = (x+w)*(y+w)
-    temp.append([int(red/n), int(green/n), int(blue/n)])
-    list_avr.append(temp)
-    temp = []
-    red = 0
-    green = 0
-    blue = 0
-    cv2.imshow('Video', img)
-
-    key = cv2.waitKey(1) & 0xFF
-    if key == ord('q') or cv2.getWindowProperty('Video', cv2.WND_PROP_VISIBLE) < 1:
-        break
-
-    f += 1
-print(len(list_avr))
-
-with open("X:/listRGB.txt", "w") as file:
-    # Write each item in the list to a new line in the file
-    for line in list_avr:
-        file.write(str(line) + "\n")
-
-# When everything is done, release the capture
-video_capture.release()
-cv2.destroyAllWindows()